Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 13640 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 240 |
| Duplicate rows (%) | 1.8% |
| Total size in memory | 1.7 MiB |
| Average record size in memory | 128.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 6 |
| Text | 1 |
Property Type has constant value "" | Constant |
| Dataset has 240 (1.8%) duplicate rows | Duplicates |
Condo is highly overall correlated with Parking and 1 other fields | High correlation |
Negotiation Type is highly overall correlated with Price | High correlation |
Parking is highly overall correlated with Condo and 4 other fields | High correlation |
Price is highly overall correlated with Negotiation Type | High correlation |
Rooms is highly overall correlated with Parking and 1 other fields | High correlation |
Size is highly overall correlated with Condo and 4 other fields | High correlation |
Suites is highly overall correlated with Parking and 2 other fields | High correlation |
Toilets is highly overall correlated with Parking and 2 other fields | High correlation |
New is highly imbalanced (88.4%) | Imbalance |
Condo has 1977 (14.5%) zeros | Zeros |
Suites has 3285 (24.1%) zeros | Zeros |
Parking has 570 (4.2%) zeros | Zeros |
Latitude has 881 (6.5%) zeros | Zeros |
Longitude has 881 (6.5%) zeros | Zeros |
Reproduction
| Analysis started | 2025-02-01 22:02:34.941378 |
|---|---|
| Analysis finished | 2025-02-01 22:03:10.742233 |
| Duration | 35.8 seconds |
| Software version | ydata-profiling vv4.6.5 |
| Download configuration | config.json |
Price
Real number (ℝ)
HIGH CORRELATION
| Distinct | 1881 |
|---|---|
| Distinct (%) | 13.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 287737.78 |
| Minimum | 480 |
|---|---|
| Maximum | 10000000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 480 |
|---|---|
| 5-th percentile | 1100 |
| Q1 | 1858.75 |
| median | 8100 |
| Q3 | 360000 |
| 95-th percentile | 1180000 |
| Maximum | 10000000 |
| Range | 9999520 |
| Interquartile range (IQR) | 358141.25 |
Descriptive statistics
| Standard deviation | 590821.42 |
|---|---|
| Coefficient of variation (CV) | 2.0533328 |
| Kurtosis | 55.498831 |
| Mean | 287737.78 |
| Median Absolute Deviation (MAD) | 7200 |
| Skewness | 5.9355903 |
| Sum | 3.9247434 × 109 |
| Variance | 3.4906995 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1500 | 367 | 2.7% |
| 1200 | 362 | 2.7% |
| 2500 | 299 | 2.2% |
| 1300 | 276 | 2.0% |
| 2000 | 276 | 2.0% |
| 1600 | 271 | 2.0% |
| 1400 | 243 | 1.8% |
| 1100 | 238 | 1.7% |
| 1800 | 237 | 1.7% |
| 1000 | 232 | 1.7% |
| Other values (1871) | 10839 |
| Value | Count | Frequency (%) |
| 480 | 1 | < 0.1% |
| 500 | 5 | < 0.1% |
| 550 | 1 | < 0.1% |
| 600 | 7 | |
| 610 | 1 | < 0.1% |
| 628 | 1 | < 0.1% |
| 630 | 2 | < 0.1% |
| 650 | 13 | |
| 660 | 3 | < 0.1% |
| 670 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 10000000 | 1 | |
| 9979947 | 1 | |
| 8500000 | 1 | |
| 8039200 | 1 | |
| 8000000 | 2 | |
| 7765616 | 1 | |
| 7559420 | 2 | |
| 7521000 | 1 | |
| 7500000 | 2 | |
| 7200000 | 1 |
Condo
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 1415 |
|---|---|
| Distinct (%) | 10.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 689.88233 |
| Minimum | 0 |
|---|---|
| Maximum | 9500 |
| Zeros | 1977 |
| Zeros (%) | 14.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 290 |
| median | 500 |
| Q3 | 835 |
| 95-th percentile | 2057.6 |
| Maximum | 9500 |
| Range | 9500 |
| Interquartile range (IQR) | 545 |
Descriptive statistics
| Standard deviation | 757.64936 |
|---|---|
| Coefficient of variation (CV) | 1.0982298 |
| Kurtosis | 16.932039 |
| Mean | 689.88233 |
| Median Absolute Deviation (MAD) | 257 |
| Skewness | 3.1985952 |
| Sum | 9409995 |
| Variance | 574032.56 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1977 | 14.5% |
| 400 | 303 | 2.2% |
| 500 | 300 | 2.2% |
| 350 | 269 | 2.0% |
| 600 | 267 | 2.0% |
| 450 | 258 | 1.9% |
| 550 | 226 | 1.7% |
| 700 | 217 | 1.6% |
| 300 | 209 | 1.5% |
| 650 | 171 | 1.3% |
| Other values (1405) | 9443 |
| Value | Count | Frequency (%) |
| 0 | 1977 | |
| 1 | 27 | 0.2% |
| 3 | 1 | < 0.1% |
| 6 | 1 | < 0.1% |
| 10 | 4 | < 0.1% |
| 15 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 25 | 2 | < 0.1% |
| 30 | 1 | < 0.1% |
| 32 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 9500 | 1 | |
| 8920 | 1 | |
| 8860 | 1 | |
| 8800 | 1 | |
| 8000 | 1 | |
| 7928 | 1 | |
| 7800 | 1 | |
| 7500 | 2 | |
| 7428 | 1 | |
| 7200 | 1 |
Size
Real number (ℝ)
HIGH CORRELATION
| Distinct | 339 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 84.3739 |
| Minimum | 30 |
|---|---|
| Maximum | 880 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 39 |
| Q1 | 50 |
| median | 65 |
| Q3 | 94 |
| 95-th percentile | 201 |
| Maximum | 880 |
| Range | 850 |
| Interquartile range (IQR) | 44 |
Descriptive statistics
| Standard deviation | 58.435676 |
|---|---|
| Coefficient of variation (CV) | 0.69258001 |
| Kurtosis | 15.698323 |
| Mean | 84.3739 |
| Median Absolute Deviation (MAD) | 17 |
| Skewness | 3.0813914 |
| Sum | 1150860 |
| Variance | 3414.7283 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 728 | 5.3% |
| 60 | 514 | 3.8% |
| 70 | 484 | 3.5% |
| 48 | 412 | 3.0% |
| 65 | 395 | 2.9% |
| 45 | 353 | 2.6% |
| 55 | 349 | 2.6% |
| 56 | 303 | 2.2% |
| 40 | 270 | 2.0% |
| 47 | 257 | 1.9% |
| Other values (329) | 9575 |
| Value | Count | Frequency (%) |
| 30 | 73 | |
| 31 | 34 | 0.2% |
| 32 | 48 | 0.4% |
| 33 | 42 | 0.3% |
| 34 | 56 | 0.4% |
| 35 | 157 | |
| 36 | 60 | 0.4% |
| 37 | 70 | |
| 38 | 99 | |
| 39 | 59 | 0.4% |
| Value | Count | Frequency (%) |
| 880 | 1 | < 0.1% |
| 852 | 1 | < 0.1% |
| 670 | 1 | < 0.1% |
| 640 | 1 | < 0.1% |
| 627 | 1 | < 0.1% |
| 620 | 1 | < 0.1% |
| 600 | 1 | < 0.1% |
| 598 | 1 | < 0.1% |
| 574 | 1 | < 0.1% |
| 540 | 3 |
Rooms
Real number (ℝ)
HIGH CORRELATION
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3120235 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 4 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.77746074 |
|---|---|
| Coefficient of variation (CV) | 0.33626853 |
| Kurtosis | 0.66764682 |
| Mean | 2.3120235 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.34651822 |
| Sum | 31536 |
| Variance | 0.60444521 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 6766 | |
| 3 | 4307 | |
| 1 | 1740 | 12.8% |
| 4 | 802 | 5.9% |
| 5 | 20 | 0.1% |
| 6 | 3 | < 0.1% |
| 10 | 1 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 1740 | 12.8% |
| 2 | 6766 | |
| 3 | 4307 | |
| 4 | 802 | 5.9% |
| 5 | 20 | 0.1% |
| 6 | 3 | < 0.1% |
| 7 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 10 | 1 | < 0.1% |
| 7 | 1 | < 0.1% |
| 6 | 3 | < 0.1% |
| 5 | 20 | 0.1% |
| 4 | 802 | 5.9% |
| 3 | 4307 | |
| 2 | 6766 | |
| 1 | 1740 | 12.8% |
Toilets
Real number (ℝ)
HIGH CORRELATION
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.0736804 |
| Minimum | 1 |
|---|---|
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.9618026 |
|---|---|
| Coefficient of variation (CV) | 0.4638143 |
| Kurtosis | 3.3228095 |
| Mean | 2.0736804 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.5961676 |
| Sum | 28285 |
| Variance | 0.92506425 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 8190 | |
| 1 | 3187 | 23.4% |
| 3 | 940 | 6.9% |
| 4 | 818 | 6.0% |
| 5 | 422 | 3.1% |
| 6 | 67 | 0.5% |
| 7 | 14 | 0.1% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 3187 | 23.4% |
| 2 | 8190 | |
| 3 | 940 | 6.9% |
| 4 | 818 | 6.0% |
| 5 | 422 | 3.1% |
| 6 | 67 | 0.5% |
| 7 | 14 | 0.1% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 8 | 2 | < 0.1% |
| 7 | 14 | 0.1% |
| 6 | 67 | 0.5% |
| 5 | 422 | 3.1% |
| 4 | 818 | 6.0% |
| 3 | 940 | 6.9% |
| 2 | 8190 | |
| 1 | 3187 | 23.4% |
Suites
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.98079179 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 3285 |
| Zeros (%) | 24.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.83489092 |
|---|---|
| Coefficient of variation (CV) | 0.85124175 |
| Kurtosis | 2.9845746 |
| Mean | 0.98079179 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.4535991 |
| Sum | 13378 |
| Variance | 0.69704285 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 8669 | |
| 0 | 3285 | 24.1% |
| 3 | 827 | 6.1% |
| 2 | 607 | 4.5% |
| 4 | 247 | 1.8% |
| 5 | 4 | < 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 3285 | 24.1% |
| 1 | 8669 | |
| 2 | 607 | 4.5% |
| 3 | 827 | 6.1% |
| 4 | 247 | 1.8% |
| 5 | 4 | < 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 5 | 4 | < 0.1% |
| 4 | 247 | 1.8% |
| 3 | 827 | 6.1% |
| 2 | 607 | 4.5% |
| 1 | 8669 | |
| 0 | 3285 | 24.1% |
Parking
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3931818 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 570 |
| Zeros (%) | 4.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.82993193 |
|---|---|
| Coefficient of variation (CV) | 0.5957097 |
| Kurtosis | 5.2611272 |
| Mean | 1.3931818 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.8393646 |
| Sum | 19003 |
| Variance | 0.688787 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 8899 | |
| 2 | 2974 | 21.8% |
| 3 | 757 | 5.5% |
| 0 | 570 | 4.2% |
| 4 | 347 | 2.5% |
| 5 | 72 | 0.5% |
| 6 | 14 | 0.1% |
| 7 | 4 | < 0.1% |
| 8 | 2 | < 0.1% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 570 | 4.2% |
| 1 | 8899 | |
| 2 | 2974 | 21.8% |
| 3 | 757 | 5.5% |
| 4 | 347 | 2.5% |
| 5 | 72 | 0.5% |
| 6 | 14 | 0.1% |
| 7 | 4 | < 0.1% |
| 8 | 2 | < 0.1% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 9 | 1 | < 0.1% |
| 8 | 2 | < 0.1% |
| 7 | 4 | < 0.1% |
| 6 | 14 | 0.1% |
| 5 | 72 | 0.5% |
| 4 | 347 | 2.5% |
| 3 | 757 | 5.5% |
| 2 | 2974 | 21.8% |
| 1 | 8899 | |
| 0 | 570 | 4.2% |
Elevator
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13640 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13640 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13640 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13640 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 8809 | |
| 1 | 4831 |
Furnished
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13640 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13640 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13640 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13640 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 11638 | |
| 1 | 2002 | 14.7% |
Swimming Pool
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13640 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13640 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13640 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13640 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 6986 | |
| 0 | 6654 |
New
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| 0 | |
|---|---|
| 1 | 213 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13640 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13640 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13640 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13640 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13427 | |
| 1 | 213 | 1.6% |
District
Text
| Distinct | 96 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
Length
| Max length | 28 |
|---|---|
| Median length | 23 |
| Mean length | 19.46239 |
| Min length | 12 |
Characters and Unicode
| Total characters | 265467 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Artur Alvim/São Paulo |
|---|---|
| 2nd row | Artur Alvim/São Paulo |
| 3rd row | Artur Alvim/São Paulo |
| 4th row | Artur Alvim/São Paulo |
| 5th row | Artur Alvim/São Paulo |
| Value | Count | Frequency (%) |
| paulo | 13640 | |
| vila | 1814 | 5.3% |
| campo | 513 | 1.5% |
| são | 487 | 1.4% |
| pinheiros/são | 479 | 1.4% |
| cidade | 437 | 1.3% |
| jardim | 398 | 1.2% |
| moema/são | 293 | 0.9% |
| mooca/são | 288 | 0.8% |
| itaim | 286 | 0.8% |
| Other values (109) | 15601 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 35673 | |
| a | 32904 | |
| 20596 | 7.8% | |
| l | 18693 | 7.0% |
| u | 18582 | 7.0% |
| P | 15612 | 5.9% |
| S | 15401 | 5.8% |
| ã | 15229 | 5.7% |
| / | 13640 | 5.1% |
| i | 10691 | 4.0% |
| Other values (44) | 68446 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 183805 | |
| Uppercase Letter | 47426 | 17.9% |
| Space Separator | 20596 | 7.8% |
| Other Punctuation | 13640 | 5.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 35673 | |
| a | 32904 | |
| l | 18693 | |
| u | 18582 | |
| ã | 15229 | |
| i | 10691 | 5.8% |
| e | 8786 | 4.8% |
| r | 8252 | 4.5% |
| n | 5438 | 3.0% |
| d | 5261 | 2.9% |
| Other values (21) | 24296 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 15612 | |
| S | 15401 | |
| C | 2664 | 5.6% |
| V | 2312 | 4.9% |
| B | 2132 | 4.5% |
| M | 1940 | 4.1% |
| A | 1209 | 2.5% |
| L | 1190 | 2.5% |
| J | 1139 | 2.4% |
| R | 898 | 1.9% |
| Other values (11) | 2929 | 6.2% |
Space Separator
| Value | Count | Frequency (%) |
| 20596 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 13640 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 231231 | |
| Common | 34236 | 12.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 35673 | |
| a | 32904 | |
| l | 18693 | 8.1% |
| u | 18582 | 8.0% |
| P | 15612 | 6.8% |
| S | 15401 | 6.7% |
| ã | 15229 | 6.6% |
| i | 10691 | 4.6% |
| e | 8786 | 3.8% |
| r | 8252 | 3.6% |
| Other values (42) | 51408 |
Common
| Value | Count | Frequency (%) |
| 20596 | ||
| / | 13640 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 246911 | |
| None | 18556 | 7.0% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 35673 | |
| a | 32904 | |
| 20596 | 8.3% | |
| l | 18693 | 7.6% |
| u | 18582 | 7.5% |
| P | 15612 | 6.3% |
| S | 15401 | 6.2% |
| / | 13640 | 5.5% |
| i | 10691 | 4.3% |
| e | 8786 | 3.6% |
| Other values (33) | 56333 |
None
| Value | Count | Frequency (%) |
| ã | 15229 | |
| é | 802 | 4.3% |
| í | 542 | 2.9% |
| á | 538 | 2.9% |
| ç | 494 | 2.7% |
| ú | 388 | 2.1% |
| Ó | 137 | 0.7% |
| ô | 134 | 0.7% |
| Á | 133 | 0.7% |
| â | 84 | 0.5% |
Negotiation Type
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| rent | |
|---|---|
| sale |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 54560 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | rent |
|---|---|
| 2nd row | rent |
| 3rd row | rent |
| 4th row | rent |
| 5th row | rent |
Common Values
| Value | Count | Frequency (%) |
| rent | 7228 | |
| sale | 6412 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| rent | 7228 | |
| sale | 6412 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 13640 | |
| r | 7228 | |
| n | 7228 | |
| t | 7228 | |
| s | 6412 | |
| a | 6412 | |
| l | 6412 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 54560 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 13640 | |
| r | 7228 | |
| n | 7228 | |
| t | 7228 | |
| s | 6412 | |
| a | 6412 | |
| l | 6412 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 54560 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 13640 | |
| r | 7228 | |
| n | 7228 | |
| t | 7228 | |
| s | 6412 | |
| a | 6412 | |
| l | 6412 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 54560 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 13640 | |
| r | 7228 | |
| n | 7228 | |
| t | 7228 | |
| s | 6412 | |
| a | 6412 | |
| l | 6412 |
Property Type
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 106.7 KiB |
| apartment |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 122760 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | apartment |
|---|---|
| 2nd row | apartment |
| 3rd row | apartment |
| 4th row | apartment |
| 5th row | apartment |
Common Values
| Value | Count | Frequency (%) |
| apartment | 13640 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| apartment | 13640 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 27280 | |
| t | 27280 | |
| p | 13640 | |
| r | 13640 | |
| m | 13640 | |
| e | 13640 | |
| n | 13640 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 122760 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 27280 | |
| t | 27280 | |
| p | 13640 | |
| r | 13640 | |
| m | 13640 | |
| e | 13640 | |
| n | 13640 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 122760 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 27280 | |
| t | 27280 | |
| p | 13640 | |
| r | 13640 | |
| m | 13640 | |
| e | 13640 | |
| n | 13640 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 122760 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 27280 | |
| t | 27280 | |
| p | 13640 | |
| r | 13640 | |
| m | 13640 | |
| e | 13640 | |
| n | 13640 |
Latitude
Real number (ℝ)
ZEROS
| Distinct | 8405 |
|---|---|
| Distinct (%) | 61.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -22.077047 |
| Minimum | -46.749039 |
|---|---|
| Maximum | 0 |
| Zeros | 881 |
| Zeros (%) | 6.5% |
| Negative | 12759 |
| Negative (%) | 93.5% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | -46.749039 |
|---|---|
| 5-th percentile | -23.661191 |
| Q1 | -23.594552 |
| median | -23.552813 |
| Q3 | -23.51764 |
| 95-th percentile | 0 |
| Maximum | 0 |
| Range | 46.749039 |
| Interquartile range (IQR) | 0.0769119 |
Descriptive statistics
| Standard deviation | 5.8666334 |
|---|---|
| Coefficient of variation (CV) | -0.26573452 |
| Kurtosis | 10.361152 |
| Mean | -22.077047 |
| Median Absolute Deviation (MAD) | 0.039699 |
| Skewness | 3.3370194 |
| Sum | -301130.92 |
| Variance | 34.417387 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 881 | 6.5% |
| -23.5053909 | 57 | 0.4% |
| -23.604294 | 43 | 0.3% |
| -26.9225117 | 32 | 0.2% |
| -23.5002428 | 25 | 0.2% |
| -23.714221 | 25 | 0.2% |
| -23.5453953 | 22 | 0.2% |
| -23.522756 | 21 | 0.2% |
| -23.58575 | 20 | 0.1% |
| -23.585748 | 18 | 0.1% |
| Other values (8395) | 12496 |
| Value | Count | Frequency (%) |
| -46.749039 | 1 | |
| -46.734483 | 1 | |
| -46.715115 | 1 | |
| -46.700223 | 1 | |
| -46.678478 | 1 | |
| -46.677847 | 1 | |
| -46.669247 | 1 | |
| -46.668966 | 1 | |
| -46.656944 | 1 | |
| -46.655399 | 1 |
| Value | Count | Frequency (%) |
| 0 | 881 | |
| -1.3641735 | 1 | < 0.1% |
| -14.2112427 | 1 | < 0.1% |
| -15.5314939 | 1 | < 0.1% |
| -21.8577415 | 1 | < 0.1% |
| -22.3292281 | 1 | < 0.1% |
| -22.4605143 | 1 | < 0.1% |
| -22.7862985 | 1 | < 0.1% |
| -22.8329885 | 2 | < 0.1% |
| -23.174031 | 1 | < 0.1% |
Longitude
Real number (ℝ)
ZEROS
| Distinct | 8451 |
|---|---|
| Distinct (%) | 62.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -43.597088 |
| Minimum | -58.364352 |
|---|---|
| Maximum | 0 |
| Zeros | 881 |
| Zeros (%) | 6.5% |
| Negative | 12759 |
| Negative (%) | 93.5% |
| Memory size | 106.7 KiB |
Quantile statistics
| Minimum | -58.364352 |
|---|---|
| 5-th percentile | -46.744902 |
| Q1 | -46.681671 |
| median | -46.637255 |
| Q3 | -46.56004 |
| 95-th percentile | 0 |
| Maximum | 0 |
| Range | 58.364352 |
| Interquartile range (IQR) | 0.12163125 |
Descriptive statistics
| Standard deviation | 11.487288 |
|---|---|
| Coefficient of variation (CV) | -0.26348751 |
| Kurtosis | 10.423235 |
| Mean | -43.597088 |
| Median Absolute Deviation (MAD) | 0.05315615 |
| Skewness | 3.5205647 |
| Sum | -594664.28 |
| Variance | 131.95779 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 881 | 6.5% |
| -46.6227832 | 57 | 0.4% |
| -46.518325 | 43 | 0.3% |
| -49.0607072 | 32 | 0.2% |
| -46.533612 | 26 | 0.2% |
| -46.6276118 | 25 | 0.2% |
| -46.704675 | 25 | 0.2% |
| -46.6167926 | 22 | 0.2% |
| -46.655492 | 21 | 0.2% |
| -46.533696 | 18 | 0.1% |
| Other values (8441) | 12490 |
| Value | Count | Frequency (%) |
| -58.3643522 | 1 | < 0.1% |
| -51.9763575 | 1 | < 0.1% |
| -49.3378145 | 1 | < 0.1% |
| -49.108049 | 1 | < 0.1% |
| -49.0607072 | 32 | |
| -49.0606445 | 14 | |
| -48.2698339 | 1 | < 0.1% |
| -47.3454718 | 1 | < 0.1% |
| -47.1658588 | 2 | < 0.1% |
| -47.008401 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 881 | |
| -23.468007 | 1 | < 0.1% |
| -23.507452 | 1 | < 0.1% |
| -23.51764 | 1 | < 0.1% |
| -23.518222 | 1 | < 0.1% |
| -23.518756 | 1 | < 0.1% |
| -23.534683 | 1 | < 0.1% |
| -23.535175 | 1 | < 0.1% |
| -23.540783 | 1 | < 0.1% |
| -23.545329 | 1 | < 0.1% |
| Condo | Elevator | Furnished | Latitude | Longitude | Negotiation Type | New | Parking | Price | Rooms | Size | Suites | Swimming Pool | Toilets | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Condo | 1.000 | 0.026 | 0.093 | -0.155 | -0.318 | 0.147 | 0.051 | 0.507 | 0.093 | 0.402 | 0.614 | 0.347 | 0.123 | 0.388 |
| Elevator | 0.026 | 1.000 | 0.066 | -0.058 | -0.101 | 0.120 | 0.169 | 0.070 | 0.150 | 0.035 | 0.027 | 0.190 | 0.204 | 0.215 |
| Furnished | 0.093 | 0.066 | 1.000 | -0.043 | -0.071 | 0.078 | 0.044 | 0.091 | 0.038 | -0.050 | 0.031 | 0.083 | 0.147 | 0.084 |
| Latitude | -0.155 | -0.058 | -0.043 | 1.000 | 0.379 | 0.050 | 0.000 | -0.133 | -0.036 | -0.083 | -0.122 | -0.190 | 0.036 | -0.184 |
| Longitude | -0.318 | -0.101 | -0.071 | 0.379 | 1.000 | 0.108 | 0.000 | -0.224 | -0.073 | -0.134 | -0.266 | -0.231 | 0.104 | -0.246 |
| Negotiation Type | 0.147 | 0.120 | 0.078 | 0.050 | 0.108 | 1.000 | 0.126 | -0.065 | 0.865 | 0.010 | -0.099 | -0.041 | 0.051 | -0.024 |
| New | 0.051 | 0.169 | 0.044 | 0.000 | 0.000 | 0.126 | 1.000 | -0.019 | 0.088 | -0.015 | -0.067 | -0.048 | 0.000 | -0.031 |
| Parking | 0.507 | 0.070 | 0.091 | -0.133 | -0.224 | -0.065 | -0.019 | 1.000 | 0.254 | 0.570 | 0.651 | 0.585 | 0.326 | 0.601 |
| Price | 0.093 | 0.150 | 0.038 | -0.036 | -0.073 | 0.865 | 0.088 | 0.254 | 1.000 | 0.240 | 0.276 | 0.206 | 0.097 | 0.239 |
| Rooms | 0.402 | 0.035 | -0.050 | -0.083 | -0.134 | 0.010 | -0.015 | 0.570 | 0.240 | 1.000 | 0.749 | 0.459 | 0.201 | 0.498 |
| Size | 0.614 | 0.027 | 0.031 | -0.122 | -0.266 | -0.099 | -0.067 | 0.651 | 0.276 | 0.749 | 1.000 | 0.508 | 0.122 | 0.558 |
| Suites | 0.347 | 0.190 | 0.083 | -0.190 | -0.231 | -0.041 | -0.048 | 0.585 | 0.206 | 0.459 | 0.508 | 1.000 | 0.281 | 0.928 |
| Swimming Pool | 0.123 | 0.204 | 0.147 | 0.036 | 0.104 | 0.051 | 0.000 | 0.326 | 0.097 | 0.201 | 0.122 | 0.281 | 1.000 | 0.274 |
| Toilets | 0.388 | 0.215 | 0.084 | -0.184 | -0.246 | -0.024 | -0.031 | 0.601 | 0.239 | 0.498 | 0.558 | 0.928 | 0.274 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Price | Condo | Size | Rooms | Toilets | Suites | Parking | Elevator | Furnished | Swimming Pool | New | District | Negotiation Type | Property Type | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 930 | 220 | 47 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.543138 | -46.479486 |
| 1 | 1000 | 148 | 45 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.550239 | -46.480718 |
| 2 | 1000 | 100 | 48 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.542818 | -46.485665 |
| 3 | 1000 | 200 | 48 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.547171 | -46.483014 |
| 4 | 1300 | 410 | 55 | 2 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.525025 | -46.482436 |
| 5 | 1170 | 0 | 50 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.548751 | -46.477195 |
| 6 | 1000 | 180 | 52 | 1 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.549840 | -46.484137 |
| 7 | 900 | 150 | 40 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.539740 | -46.492670 |
| 8 | 1000 | 0 | 65 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.548751 | -46.477195 |
| 9 | 1000 | 0 | 100 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Artur Alvim/São Paulo | rent | apartment | -23.548751 | -46.477195 |
| Price | Condo | Size | Rooms | Toilets | Suites | Parking | Elevator | Furnished | Swimming Pool | New | District | Negotiation Type | Property Type | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13630 | 280000 | 480 | 55 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | sale | apartment | -23.652529 | -46.647468 |
| 13631 | 350000 | 554 | 68 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | sale | apartment | -23.659879 | -46.639641 |
| 13632 | 800000 | 996 | 86 | 3 | 2 | 1 | 2 | 0 | 0 | 1 | 0 | Jabaquara/São Paulo | sale | apartment | -23.647569 | -46.641989 |
| 13633 | 300000 | 370 | 47 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | sale | apartment | -23.640301 | -46.652619 |
| 13634 | 456000 | 770 | 85 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | sale | apartment | -23.773509 | -46.675631 |
| 13635 | 265000 | 420 | 51 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | sale | apartment | -23.653004 | -46.635463 |
| 13636 | 545000 | 630 | 74 | 3 | 2 | 1 | 2 | 0 | 0 | 1 | 0 | Jabaquara/São Paulo | sale | apartment | -23.648930 | -46.641982 |
| 13637 | 515000 | 1100 | 114 | 3 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | Jabaquara/São Paulo | sale | apartment | -23.649693 | -46.649783 |
| 13638 | 345000 | 48 | 39 | 1 | 2 | 1 | 1 | 0 | 1 | 1 | 0 | Jabaquara/São Paulo | sale | apartment | -23.652060 | -46.637046 |
| 13639 | 161987 | 0 | 44 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jardim Ângela/São Paulo | sale | apartment | -23.613391 | -46.523109 |
Most frequently occurring
| Price | Condo | Size | Rooms | Toilets | Suites | Parking | Elevator | Furnished | Swimming Pool | New | District | Negotiation Type | Property Type | Latitude | Longitude | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 42 | 1295 | 500 | 69 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Jardim Ângela/São Paulo | rent | apartment | -23.604294 | -46.518325 | 10 |
| 148 | 8000 | 1400 | 132 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Iguatemi/São Paulo | rent | apartment | -23.585672 | -46.681216 | 8 |
| 72 | 1600 | 0 | 50 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | Rio Pequeno/São Paulo | rent | apartment | -23.565075 | -46.750646 | 7 |
| 29 | 1190 | 555 | 70 | 3 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | Jardim Ângela/São Paulo | rent | apartment | -23.604294 | -46.518325 | 6 |
| 58 | 1400 | 330 | 56 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Sapopemba/São Paulo | rent | apartment | -23.585748 | -46.533696 | 6 |
| 22 | 1100 | 270 | 44 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | Jabaquara/São Paulo | rent | apartment | -23.655714 | -46.636330 | 5 |
| 65 | 1500 | 273 | 31 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | Brás/São Paulo | rent | apartment | -23.545395 | -46.616793 | 5 |
| 108 | 2500 | 456 | 49 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | Casa Verde/São Paulo | rent | apartment | 0.000000 | 0.000000 | 5 |
| 147 | 7200 | 1900 | 62 | 1 | 2 | 1 | 2 | 0 | 1 | 0 | 0 | Iguatemi/São Paulo | rent | apartment | -23.583830 | -46.683541 | 5 |
| 180 | 199000 | 0 | 37 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | Perus/São Paulo | sale | apartment | -23.406884 | -46.737037 | 5 |